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Archive for the ‘Drug Delivery Platform Technology’ Category


Self-propelled Liposomes as a Drug Delivery System

Reporter: Irina Robu, PhD

Liposomes are small artificial vesicles of spherical shape that can be created from cholesterol and natural non-toxic phospholipids. As a result of their size and hydrophobic and hydrophilic character, liposomes are promising systems for drug delivery. Liposome properties diverge considerably with lipid composition, surface charge, size, and the method of preparation. Scientists at Penn State developed self-propelled liposomes that migrate away and/or towards chemical signals, making it possible for self-directed drug delivery vehicles that can actively target a specific area of the body. Besides, the choice of bilayer components controls the ‘rigidity’ or ‘fluidity’ and the charge of the bilayer. Countless liposomes proposed for drug delivery are tissue-specific, since of antibodies on their surface bind to the target tissue when they encounter it. The technology may help to enhance efficacy and reduce side-effects of drugs in a variation of applications.

Yet, the key to drug delivery is enhancing the specificity and affinity of a drug delivery vehicle for its target tissue. As the drawbacks of conventional drug therapies, scientists are developing an extensive variability of drug delivery vehicles including nanoparticles, biomaterials, and implantable devices, to increase drug accumulation at a target site in the body and reduce side-effects elsewhere. To address the drawbacks, these researchers developed a type of liposome that can actively propel itself near a chemical signal in the body, such as a chemical attractant released by a target tissue.

The liposomes proposed by Penn researchers are covered in enzymes that react with specific substrates to produce energy, which can help to push the liposomes along, through a phenomenon called chemotaxis. By changing the enzymes coating the liposomes, the investigators can tune this chemotaxis and permit the particles to either move towards or away the chemical signal. This could aid the particles to gravitate near certain tissues, and possibly avoid others in the body.
Currently, the are still developing the liposomes, and hope that they will be able to use them for drug delivery soon
SOURCE
https://www.sciencedaily.com/releases/2019/11/191118110928.htm

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Medicine in 2045 – Perspectives by World Thought Leaders in the Life Sciences & Medicine

Reporter: Aviva Lev-Ari, PhD, RN

 

This report is based on an article in Nature Medicine | VOL 25 | December 2019 | 1800–1809 | http://www.nature.com/naturemedicine

Looking forward 25 years: the future of medicine.

Nat Med 25, 1804–1807 (2019) doi:10.1038/s41591-019-0693-y

 

Aviv Regev, PhD

Core member and chair of the faculty, Broad Institute of MIT and Harvard; director, Klarman Cell Observatory, Broad Institute of MIT and Harvard; professor of biology, MIT; investigator, Howard Hughes Medical Institute; founding co-chair, Human Cell Atlas.

  • millions of genome variants, tens of thousands of disease-associated genes, thousands of cell types and an almost unimaginable number of ways they can combine, we had to approximate a best starting point—choose one target, guess the cell, simplify the experiment.
  • In 2020, advances in polygenic risk scores, in understanding the cell and modules of action of genes through genome-wide association studies (GWAS), and in predicting the impact of combinations of interventions.
  • we need algorithms to make better computational predictions of experiments we have never performed in the lab or in clinical trials.
  • Human Cell Atlas and the International Common Disease Alliance—and in new experimental platforms: data platforms and algorithms. But we also need a broader ecosystem of partnerships in medicine that engages interaction between clinical experts and mathematicians, computer scientists and engineers

Feng Zhang, PhD

investigator, Howard Hughes Medical Institute; core member, Broad Institute of MIT and Harvard; James and Patricia Poitras Professor of Neuroscience, McGovern Institute for Brain Research, MIT.

  • fundamental shift in medicine away from treating symptoms of disease and toward treating disease at its genetic roots.
  • Gene therapy with clinical feasibility, improved delivery methods and the development of robust molecular technologies for gene editing in human cells, affordable genome sequencing has accelerated our ability to identify the genetic causes of disease.
  • 1,000 clinical trials testing gene therapies are ongoing, and the pace of clinical development is likely to accelerate.
  • refine molecular technologies for gene editing, to push our understanding of gene function in health and disease forward, and to engage with all members of society

Elizabeth Jaffee, PhD

Dana and Albert “Cubby” Broccoli Professor of Oncology, Johns Hopkins School of Medicine; deputy director, Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins.

  • a single blood test could inform individuals of the diseases they are at risk of (diabetes, cancer, heart disease, etc.) and that safe interventions will be available.
  • developing cancer vaccines. Vaccines targeting the causative agents of cervical and hepatocellular cancers have already proven to be effective. With these technologies and the wealth of data that will become available as precision medicine becomes more routine, new discoveries identifying the earliest genetic and inflammatory changes occurring within a cell as it transitions into a pre-cancer can be expected. With these discoveries, the opportunities to develop vaccine approaches preventing cancers development will grow.

Jeremy Farrar, OBE FRCP FRS FMedSci

Director, Wellcome Trust.

  • shape how the culture of research will develop over the next 25 years, a culture that cares more about what is achieved than how it is achieved.
  • building a creative, inclusive and open research culture will unleash greater discoveries with greater impact.

John Nkengasong, PhD

Director, Africa Centres for Disease Control and Prevention.

  • To meet its health challenges by 2050, the continent will have to be innovative in order to leapfrog toward solutions in public health.
  • Precision medicine will need to take center stage in a new public health order— whereby a more precise and targeted approach to screening, diagnosis, treatment and, potentially, cure is based on each patient’s unique genetic and biologic make-up.

Eric Topol, MD

Executive vice-president, Scripps Research Institute; founder and director, Scripps Research Translational Institute.

  • In 2045, a planetary health infrastructure based on deep, longitudinal, multimodal human data, ideally collected from and accessible to as many as possible of the 9+ billion people projected to then inhabit the Earth.
  • enhanced capabilities to perform functions that are not feasible now.
  • AI machines’ ability to ingest and process biomedical text at scale—such as the corpus of the up-to-date medical literature—will be used routinely by physicians and patients.
  • the concept of a learning health system will be redefined by AI.

Linda Partridge, PhD

Professor, Max Planck Institute for Biology of Ageing.

  • Geroprotective drugs, which target the underlying molecular mechanisms of ageing, are coming over the scientific and clinical horizons, and may help to prevent the most intractable age-related disease, dementia.

Trevor Mundel, MD

President of Global Health, Bill & Melinda Gates Foundation.

  • finding new ways to share clinical data that are as open as possible and as closed as necessary.
  • moving beyond drug donations toward a new era of corporate social responsibility that encourages biotechnology and pharmaceutical companies to offer their best minds and their most promising platforms.
  • working with governments and multilateral organizations much earlier in the product life cycle to finance the introduction of new interventions and to ensure the sustainable development of the health systems that will deliver them.
  • deliver on the promise of global health equity.

Josep Tabernero, MD, PhD

Vall d’Hebron Institute of Oncology (VHIO); president, European Society for Medical Oncology (2018–2019).

  • genomic-driven analysis will continue to broaden the impact of personalized medicine in healthcare globally.
  • Precision medicine will continue to deliver its new paradigm in cancer care and reach more patients.
  • Immunotherapy will deliver on its promise to dismantle cancer’s armory across tumor types.
  • AI will help guide the development of individually matched
  • genetic patient screenings
  • the promise of liquid biopsy policing of disease?

Pardis Sabeti, PhD

Professor, Harvard University & Harvard T.H. Chan School of Public Health and Broad Institute of MIT and Harvard; investigator, Howard Hughes Medical Institute.

  • the development and integration of tools into an early-warning system embedded into healthcare systems around the world could revolutionize infectious disease detection and response.
  • But this will only happen with a commitment from the global community.

Els Toreele, PhD

Executive director, Médecins Sans Frontières Access Campaign

  • we need a paradigm shift such that medicines are no longer lucrative market commodities but are global public health goods—available to all those who need them.
  • This will require members of the scientific community to go beyond their role as researchers and actively engage in R&D policy reform mandating health research in the public interest and ensuring that the results of their work benefit many more people.
  • The global research community can lead the way toward public-interest driven health innovation, by undertaking collaborative open science and piloting not-for-profit R&D strategies that positively impact people’s lives globally.

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Injectable inclisiran (siRNA) as 3rd anti-PCSK9 behind mAbs Repatha and Praluent

 

Reporter: Aviva Lev-Ari, PhD, RN

Next stop, filing for approval. The Medicines Company has said it plans to submit inclisiran for FDA review by the end of 2019 and EMA review in the first quarter of 2020. If the drug’s approved it’ll be the third anti-PCSK9 behind mAbs Repatha and Praluent, and could try to compete on price to gain market share.

The company’s been very careful not to disclose its pricing plans for inclisiran, said ORION-10 principal investigator Dr. Scott Wright, professor and cardiologist at the Mayo Clinic. But, Wright said, The Medicines Co. and other companies he advises on clinical trial design “have learned the lesson from the sponsors of the monoclonal antibodies [against PCSK9], they’re not going to come in and price a drug that’s out of proportion to what the market will bear.” 

Because the anti-PCSK9 mAbs were initially priced beyond what patients and insurers were willing to pay, “now most of the physicians that I meet have a resistance to using them just because they’re fearful about the pre-approval process” with insurers, said Wright. “They’re much easier to get approved and paid for today than they’ve ever been, but that message is not out in the medical community yet.”

SOURCE

From: “STAT: AHA in 30 Seconds” <newsletter@statnews.com>

Reply-To: “STAT: AHA in 30 Seconds” <newsletter@statnews.com>

Date: Monday, November 18, 2019 at 2:59 PM

To: Aviva Lev-Ari <AvivaLev-Ari@alum.berkeley.edu>

Subject: Interim look at Amarin data, an inclisiran update, & Philly’s giant heart

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Advancing Drug Development – 12/12/2019, 8:30AM – 8:30PM at The University of Massachusetts Club, One Beacon Street, Boston, MA

 

Reporter: Aviva Lev-Ari, PhD, RN

4th Advancing Drug Development Forum – Making the Impossible Possible – Harnessing Small Molecule Drug Development scheduled to take place December 12th, 2019 at The University of Massachusetts Club, in Boston, Massachusetts from 8:30 AM – 8:30 PM.

http://advdrug.com/agenda/

 

Scientists are more than just chipping away and kicking down the barricades to develop complex small molecule products better and faster.  Successful companies are spending quality time finding novel and clever approaches and powerful technologies to better support their knowledgeable teams.  Often it takes establishing strong partnerships with 1 or more specialized service providers, cleverly combining resources – always striving to raise the bar in order to make life threatening diseases more of a chronic and tolerable disease or eradicated completely.

Hear from key opinion leaders in pharma, biotech, the investment community and innovative service providers on how they are meeting the challenges. Keep in mind, it takes being open-minded, flexible and willing sometimes to redesigning a new formulation that better enhances bioavailability, optimizes drug-delivery profiles, reduces dosing frequency, or improves the patient experience to have the potential to deliver quicker returns on investments than developing a completely new drug.

PROGRAM AGENDA Thursday, December 12, 2019
8:30 AM Registration and Networking Continental Breakfast
9:00 AM Welcome Address and Opening Remarks
Kevin Bittorf, Ph.D., & Shelly Amster
9:15 AM Opening VC Keynote
9:45 AM Bridging the Gap between Experimentation and Implementation
Panel Discussion
10:15 AM Refreshment Break
10:45 AM Cross-Talk Between Clin-Ops and Tech-Ops
Panel Discussion
11:15 AM The Cost of Speed and Value in Drug Development
Panel Discussion
12:00 PM Networking Luncheon
1:00 PM Advances in the Delivery of Therapeutics to the Brain
Academic Keynote
Mansoor M. Amiji, Ph.D., University Distinguished Professor, Professor of Pharmaceutical Sciences & Professor of Chemical Engineering, Northeastern University
1:30 PM Advancing Drug Delivery and Controlled Release
Panel Discussion
2:00 PM Drowning in DATA
2:30 PM Disruptive AI Technologies Improving Drug Development
3:00 PM Refreshment Break
3:30 PM Small Specialty VS Full Service – What Makes Sense for US?
Panel Discussion
4:00 PM Fireside Chat
Michael Bonney, Executive Chair, Kaleido Biosciences
Heinrich Schlieker, Ph.D., SVP Technical Operations, Sage Therapeutics
5:00 PM – 8:00 PM Networking Social
Direct electronic communication with Shelly Amster

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Real Time Coverage @BIOConvention #BIO2019: Gene Therapy 2.0: No Longer Science Fiction 1:00-2:15 pm June 3 Philadelphia PA

Reporter: Stephen J. Williams Ph.D. @StephenJWillia2

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Other Articles on Gene Therapy on this Open Access Journal Include:

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eProceedings – Day 1: Charles River Laboratories – 3rd World Congress, Delivering Therapies to the Clinic Faster, September 23 – 24, 2019, 25 Edwin H. Land Boulevard, Cambridge, MA

 

https://events.criver.com/event/9eab0ee1-982e-42c6-a4cd-fb43f9f2f1d0/confirmation:7c68cf9b-c599-469e-b602-42178c77e4f9

 

ANNOUNCEMENT

 

Leaders in Pharmaceutical Business Intelligence (LPBI) Group will cover this event in Real Time for pharmaceuticalintelligence.com 

Confirmation Number: 8ZNCBYNGHCK

In attendance generating in realtime event’s eProceeding and social media coverage by

 

Aviva Lev-Ari, PhD, RN

Director & Founder

Leaders in Pharmaceutical Business Intelligence (LPBI) Group, Boston

Editor-in-Chief

http://pharmaceuticalintelligence.com 

e-Mail: avivalev-ari@alum.berkeley.edu

(M) 617-775-0451

https://cal.berkeley.edu/AvivaLev-Ari,PhD,RN

SkypeID: HarpPlayer83          LinkedIn Profile        Twitter Profile

#crlworldcon

@CRiverLabs

@pharma_BI

@AVIVA1950

 

 

Join us this year as we explore novel approaches to drug development that effectively reduce program timelines and accelerate delivery to the clinic. Using a variety of case studies, our speakers will illustrate methods that successfully cut time to market and highlight how artificial intelligence and genomics are expediting target discovery and drug development. In an agenda that includes presentations, panel discussions, and short technology demonstrations, you will learn how the latest science and regulatory strategies are helping us get drugs to patients faster than ever.

AGENDA

Day One, September 23, 2019

  • Novel approaches to silence disease drivers
  • The role of AI in expediting drug discovery

Monday, September 23

8:30 – 9:00 a.m. Introduction and Welcome Remarks James C. Foster, Chairman of the Board, President, and Chief Executive Officer, Charles River
9:00 – 9:30 a.m. 2019 Award Winner: A Silicon Valley Approach to Understanding and Treating Disease Matt Wilsey, Chairman, President, and Co-Founder, Grace Science Foundation
9:30 – 10:15 a.m. Keynote Session Brian Hubbard, PhD, Chief Executive Officer, Dogma Therapeutics
10:15 – 10:30 a.m. Break
10:30 – 11:15 a.m. Novel Approaches to Silence Disease Drivers Systemic Delivery of Investigational RNAi Therapeutics: Safety Considerations and Clinical Outcomes Peter Smith, PhD, Senior Vice President, Early Development, Alnylam Pharmaceuticals
11:15 a.m. – 12:00 p.m. Novel Approaches to Silence Disease Drivers: Considerations for Viral Vector Manufacturing to Support Product Commercialization Richard Snyder, PhD, Chief Scientific Officer and Founder, Brammer Bio
12:00 – 1:00 p.m. Lunch
1:00 – 1:45 p.m. Accelerating Drug Discovery Through the Power of Microscopy Images Anne E. Carpenter, Ph.D., Institute Scientist, Sr. Director, Imaging Platform, Merkin Institute Fellow, Broad Institute of Harvard and MIT
1:45 – 2:30 p.m. The Role of AI in Expediting Drug Discovery Target Identification for Nonalcoholic Steatohepatitis Using Machine Learning: The Case for nference Tyler Wagner PhD, Head of Cardiovascular Research, nference
2:30 – 2:45 p.m. Break
2:45 – 3:30 p.m. Technobite Sessions with Emulate Bio and University of Pittsburgh Drug Discovery Institute

Kyung Jin H Jang, VP of Bio Product development, Emulate, Inc.

Albert Gough, PhD, U Pittsburg School of Medicine

3:30 – 4:15 p.m. Artificial Intelligence Panel Discussion: Real World Applications from Discovery to Clinic Moderated by Carey Goldberg, WBUR
4:15 – 4:45 p.m. Jack’s Journey Jake and Elizabeth Burke, Cure NF with Jack
4:45 – 5:00 p.m. Closing Remarks
5:00 – 6:00 p.m. Networking Reception

 

 

Day Two – September 24, 2019

  • How genomics is expediting drug discovery
  • Accelerating therapies through the regulatory process

Tuesday, September 24

8:45 – 9:00 a.m. Opening Remarks and Recap James C. Foster, Chairman of the Board, President, and Chief Executive Officer, Charles River
9:00 – 9:30 a.m. 2018 Award Winner Update David Hysong, Patient Founder and Chief Executive Officer, Shepherd Therapeutics William Siders, CDO, Shepherd Therapeutics
9:30 – 10:15 a.m. Advances in Human Genetics and Therapeutic Modalities Enable Novel Therapies Eric Green, Vice President of Research and Development, Maze Therapeutics
10:15 – 11:00 a.m. How Genomics is Expediting Drug Discovery Manuel Rivas, Assistant Professor, Department of Biomedical Data Science, Stanford University
11:00 – 11:15 a.m. Break
11:15 a.m. – 12:00 p.m. Genomics Panel Discussion: Signposting Targets That Will Speed the Path to Market Moderated by Martin Mackay, Co-Founder, RallyBio
12:00 – 1:00 p.m. Lunch
1:00 – 1:45 p.m Truly Personalized Medicines for Ultra-rare Diseases: New Opportunities in Genomic Medicine Timothy Yu, Attending Physician, Division of Genetics and Genomics and Assistant Professor in Pediatrics, Boston Children’s Hospital
1:45 – 2:30 p.m. Application of Machine Learning Technology for the Assessment of Bulbar Symptoms in ALS Fernando Vieira, Chief Scientific Officer, ALS Therapy Development Institute
2:30 – 2:45 p.m. Break
2:45 – 3:30 p.m. Accelerating Rare Disease Therapies Through the Regulatory Process Martine Zimmermann, Senior Vice President and Head of Global Regulatory Affairs, Alexion Pharmaceuticals, Inc.
3:30 – 4:00 p.m. Wearing ALL the Hats: From Impossible to Possible Allyson Berent, Chief Operating Officer, GeneTx Biotherapeutics
4:00 – 4:15 p.m. Closing Remarks

 

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  • Find a cause and work with passion
  • CVD increased 53% from 2005 to 2016
  • Cholesterol, LDL receptor and CV disease
  • Genetics  evolution and discovery of PCSK9
  1. A PCSK9 Variant lowers CV risk
  2. complete lack of PCSK9 is safe – protects from CVD
  • LDL receptor
  • Statins do not work on LDL receptor if the mutation exists
  • Antibody and antisense for the PCSK9 mutation – Inexpensive Oral Medications can change Global Diseases
  • Dogma of Drug DIscovery: Approach a Patent vs Approach a Disease
  • Ligands bind within a cryptic binding pocket adjacent to a novel PCSK9 polymorphism

12 years of drug discovery

  1. 2003: PCSK9 mutation discovered
  2. 2005:
  3. 2006:
  4. 2012;
  5. 2012: Dogma Scientists begin
  6. compound found binds to primates
  7. 2015:
  8. 2018: Efficiency DGM-4403 lowers LDL-c by 55% 0ver 14 days
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  • 2014 – @Moderna, mRNA
  • 2017 – Alnylam

RNAi – delivery is the most difficult

  • gene silencing changes medicine and diseases
  • Small Interfeering RNA (siRNA) Therapeutics
  • Delivery challenges – stability and targeting
  • RNA Interference (RNAi) – Onpattro (patisiran)
  • GalNAc-siRNA Conjugates – delivery to the hepatocytes
  • N-Acetyl Galactosamine (GalNACc-siRNA conjugates
  • Hepatocyte specific : Liver across species: ASGPR expression
  • Metabolic Stability: Chemistry to Improve siRNA
  • Platform for genetic diseases
  • Evolution of COnjugate Design: GalNAc-siRNA – enhanced stabilization chemistry
  • ALN-TTRSC02 compared to Revusiran
  • ALN-TTRsc02 (advanced) –  – tetrameric protein binds transports serum retinol binding
  • AL Amyloidosis
  • ApoA1 Amyloidosis
  • ATTR Amyloidosis – manufacture in the Liver: Hereditery vs non-hereditary – Wild-Type
  • Patisiran Therapeutic Hypothesis – siRNA targeting TTR formulated
  • Pharmacology of TTR siRNA in Animal Model
  • V30M TTR Transgenic Mouse Model: Patisiran Phase 1 Study to Phase 3 APOLLA Study Design for any TTR mutation – Prior tetramer stabilizer used permitted
  • hATTR Amyloidosis and APOLLO Assessment: Phase 3 is Global – Cardiomyopathy – potential,
  • Patisiran met all secondary Endpoints: Canadian, Japanese approval – US approved indication, European approved
  • Alnylam Investigational RNAi Therapeutics:
  • Pipeline: Genetic medicines
  • Hepatic Infectious diseases
  • CNS & Ocular
  • Cardiovascular
11:15 AM-12:00 PM
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  • Viral-Vector-mediated in vivo Gene Therapy
  • VVS Viral Vector Platforms:
  1. Adenovirus immunogenicity
  2. Lentivirus
  3. Retrovirus
  4. Herpes
  5. Recombinant Adeno-Associated Viral Vectors: Glybera, Luxturna
  6. Zolgenzma
  • Establish the product specifications based on data (CQAs)
  • Is the vector product: parenteral or anciliary material

Considerations:

  • Large scall vs small
  • lot demand vs platform choice
  • Proof of concept
  • Own/License the manufacturing reagents (portability) vs reliance on providers
  • Process and Analytical Design & Development: Cell line: Mamalian, others
  • Raw materials: Viral clearance steps – cell banks generation
  • impurity profiles
  • Cell Substrates
  • Cell clone screening
  • Preclinical/Clinical, Alachua, FL; Phase III/Commercial: Cambridge & Lexington
  • Biologics Upstream Process Flow: Master cell banks
  • Transient Transfection Process (Lenti and AAV)
  • rAAV Proviral cell line
  • Production Vector-based Process (Baculo or HSV)
  • Product purification: Filtration methods, Chromatography, centrifugal separation: Concentration/filtration
  • Formulation
  • Compatibility wiht vial: Glass, CZ, COP: absorption vs Inactivation
  • Single use
  • Frozen storage
  • Storage, Packing and Distribution
  • Technology Transfer: Research vs Mature Process (Qualified cell bank)
  • Plasmids: E.coli MCB backbone
  • Analytics Design & Development: Testing: Nucleic-acid based, protein-based
  1. AAV Vector Lot Release Assays
  2. Lentivirus
  • QA: QA Management System –
  • Analytical Assays
  • FDA Issues SIX New Draft Guidance Documents in 7/2018
  • Process Validation: Life cycle approach: Process caracterizationProcess performance qualification
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  • assayGene clusterbased on morphological similarity: Express each gene, gene painting Image analysis, cluster morphological profiles
  • identification of allelle that are not constitutively activating mutants.
  • weakly supervised deep learning to extract features
  • identify similarities and differences among treatments at the same population level
  • Predict many distinct expensive assays on a huge compound library using a single cell painting
  1. Test 5,000 compounds in the assay of interest as well as cell painting
  2. Find combination of iamge-based features that predict in the assay of interest
  3. Predict “hit” from existing 1Million compound cell paining data set
The Role of AI in Expediting Drug Discovery Target Identification for Nonalcoholic Steatohepatitis Using Machine Learning: The Case for nference
Tyler Wagner PhD, Head of Cardiovascular Research, nference
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  • Lung-Chip Applications
  • Pulmonary inflammation
  • Intestine-chip Applications
  • Liver-Chip: Building Tissue Complexity: Co-culture, tri-culture, quatro-culture, Transcriptomic Analysis
  • Liver-Chip: Kupffer cells Characterization
  • Stellate Cells
  • parenchymal channel, non-parenchymal channel
  • Liver Chip: Predicting species differences in liver toxicity: Effects of Bosentan on Albumin secretion
  • Acetaminophen Toxicity in Liver-Chip: APAP Metabolism: detected changes in morphology, ATP, GSH – Dosepdependent increase of ROS
  • Steatosis and Stellate Cell Activation: and Species difference in Toxicity Liver chip data correlates with in vivo data
  • Predict Human safety risks with liver chip
Albert Gough, PhD, U Pittsburg School of Medicine
  • Approaches for repurposing drugs:
  1. Integrated, fluidic organ MPD,
  2. cells, 3D structures,
  3. O2 Modulation & Sensing
  4. Biosensors
  5. secretome
  • Higher Biomimetic content Higher throughput
  • regulatory liver-pancreas axis in Type 2 Diabetes model
  • Estradiol-Induced proliferation of mutants in Breast Cancer varies from 2D monoculture to 3D LAMP
  • MPS Models:
  1. celle and organ Structure in MPS
  2. Single organ MPS & Coupled organ
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Carey Goldberg, WBUR
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September 24, 2019

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Real Time Coverage @BIOConvention #BIO2019: What’s Next: The Landscape of Innovation in 2019 and Beyond. 3-4 PM June 3 Philadelphia PA

Reporter: Stephen J. Williams, PhD @StephenJWillia2

 

Results from Clarivate
In 2018 most of deals were in CART area but now we are seeing more series A rounds that are on novel mechanisms as well as rare diseases.  US is still highest in venture capital series A but next is China. 10 of top ex US VC are from China, a whole lot of money.
Preclinical is very strong for US VC but China VC is focused on clinical.  First time this year we see US series A break above 100.  But ex US the series A is going down.  Although preclinical deals in US is coming back not like as good as in 2006.  But alot of > 1 billion $ deals.  Most of money into mAbs and protein therapy;  antisense is big and cell therapy is big too; small molecule not as much
ClearView Healthcare
Which innovation classes attracted VC in 2018?
  • Oncology drives a disproportionate focus could be driven by pharma focus on oncology; however there is some focus on neuro and infectious disease
  • therapeutic classes: shift to differentiated technology…. companies want technologic platforms not just drugs.  Nucleic Acid tech and antibody tech is high need platforms.  Startups can win by developing a strong platform not just a drug
There are pros and cons of developing a platform company versus a focused company.  Many VCs have a portfolio and want something to fit in so look for a focused company and may not want a platform company.  Pfizer feels that when alot of money is available (like now) platform investing is fine but when money becomes limited they will focus on those are what will be needed to fill therapy gaps.  They believe buy the therapy and only rent the platform.
Merck does feel the way Pfizer does but they have separate ventures so they can look and license platforms.  they are active in looking at companies with new modalities but they are focused on the money so they feel best kept in hands of biotech not pharma.
At Celgene they were solely focused on approvals not platforms.  Alot of money is required to get these platforms to market.  Concentration for platform companies should be the VCs not partnering or getting bought out by pharma.  it seems from panel speakers from pharma that they are waiting for science to prove itself and waiting for favorable monetary environments (easy money).  However it seems they (big pharma) are indicating that money is drying up or at least expect it too.
At Axial and with VCs they feel it is important to paint a picture or a vision at the early stage.
At Ontogeny, they focus on evaluating assets especially and most important, ThE MANAGEMENT TEAM.  There are not that many great talented drug development management teams he feels out there even though great science out there.

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